Runlian Wang

735 total citations
29 papers, 579 citations indexed

About

Runlian Wang is a scholar working on Animal Science and Zoology, Agronomy and Crop Science and Plant Science. According to data from OpenAlex, Runlian Wang has authored 29 papers receiving a total of 579 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Animal Science and Zoology, 11 papers in Agronomy and Crop Science and 11 papers in Plant Science. Recurrent topics in Runlian Wang's work include Animal Nutrition and Physiology (17 papers), Ruminant Nutrition and Digestive Physiology (11 papers) and Trace Elements in Health (9 papers). Runlian Wang is often cited by papers focused on Animal Nutrition and Physiology (17 papers), Ruminant Nutrition and Digestive Physiology (11 papers) and Trace Elements in Health (9 papers). Runlian Wang collaborates with scholars based in China, Australia and United States. Runlian Wang's co-authors include Lin Lü, Xiaoping Zhu, Zhihai Jia, Xugang Luo, David O. Kleemann, Xiudong Liao, Xi Lin, Liyang Zhang, Zheng Jenny Zhang and Yu Yu and has published in prestigious journals such as British Journal Of Nutrition, Poultry Science and Animal Feed Science and Technology.

In The Last Decade

Runlian Wang

28 papers receiving 547 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Runlian Wang China 15 301 231 157 156 50 29 579
S. B. N. Rao India 10 178 0.6× 141 0.6× 153 1.0× 137 0.9× 53 1.1× 50 675
Anil Kumar Garg India 17 228 0.8× 260 1.1× 200 1.3× 255 1.6× 64 1.3× 51 677
H. Schenkel Germany 10 204 0.7× 120 0.5× 116 0.7× 126 0.8× 44 0.9× 31 495
Dorthe Carlson Denmark 12 261 0.9× 173 0.7× 115 0.7× 71 0.5× 16 0.3× 21 444
Muneendra Kumar India 13 184 0.6× 70 0.3× 113 0.7× 207 1.3× 69 1.4× 76 558
T. C. Schell United States 6 327 1.1× 160 0.7× 247 1.6× 45 0.3× 29 0.6× 6 523
K. A. Jacques United States 11 235 0.8× 126 0.5× 120 0.8× 74 0.5× 55 1.1× 97 528
H. J. Monegue United States 16 657 2.2× 292 1.3× 326 2.1× 84 0.5× 79 1.6× 30 976
T. M. Fakler United States 10 231 0.8× 100 0.4× 63 0.4× 67 0.4× 76 1.5× 18 438
M. S. Carlson United States 8 425 1.4× 274 1.2× 104 0.7× 33 0.2× 40 0.8× 11 572

Countries citing papers authored by Runlian Wang

Since Specialization
Citations

This map shows the geographic impact of Runlian Wang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Runlian Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Runlian Wang more than expected).

Fields of papers citing papers by Runlian Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Runlian Wang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Runlian Wang. The network helps show where Runlian Wang may publish in the future.

Co-authorship network of co-authors of Runlian Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Runlian Wang. A scholar is included among the top collaborators of Runlian Wang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Runlian Wang. Runlian Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Huang, Xiang, Feng Wang, Xinjuan Hu, et al.. (2025). Influence of Light Regimes on Production of Beneficial Pigments and Nutrients by Microalgae for Functional Plant-Based Foods. Foods. 14(14). 2500–2500. 1 indexed citations
2.
Ding, Shujiang, Xinjuan Hu, Wei Liu, et al.. (2025). Combined application of nitrogen-fixing cyanobacteria enhances rice growth and nutritional quality in saline environments. Algal Research. 89. 104061–104061. 3 indexed citations
3.
Jin, Jian‐Ming, Yao-Zhong Zhang, Haimin Wang, et al.. (2025). Deciphering hydrochemistry characteristic, evolution process, and human health risks of fluoride-enriched geothermal resources in the southern part of North China Plain. Environmental Geochemistry and Health. 47(8). 327–327.
4.
Geng, Yanqiang, Lin Lü, Xi Lin, et al.. (2022). Effect of in ovo manganese injection on the embryonic development, antioxidation, hatchability, and performances of offspring broilers under normal and high temperatures. Poultry Science. 101(8). 101936–101936. 10 indexed citations
5.
Bai, Shiping, Xuelian Ma, Xiudong Liao, et al.. (2022). Dietary calcium requirements of broilers fed a conventional corn-soybean meal diet from 1 to 21 days of age. Journal of Animal Science and Biotechnology. 13(1). 11–11. 20 indexed citations
6.
Liu, Guoqing, Shumin Zhang, Zhimin An, et al.. (2020). Kinetics of selenium absorption in ligated small intestinal loops of chicks. Journal of Integrative Agriculture. 19(8). 2095–2102. 3 indexed citations
7.
Liu, Guoqing, Xugang Luo, Runlian Wang, et al.. (2019). Relative bioavailability of selenium yeast for broilers fed a conventional corn–soybean meal diet. Journal of Animal Physiology and Animal Nutrition. 104(4). 1052–1066. 15 indexed citations
8.
Alhotan, Rashed A., et al.. (2017). Nutritive value and the maximum inclusion level of pennycress meal for broiler chickens. Poultry Science. 96(7). 2281–2293. 13 indexed citations
9.
Lü, Lin, Bin Chang, Xiudong Liao, et al.. (2016). Use of molecular biomarkers to estimate manganese requirements for broiler chickens from 22 to 42 d of age. British Journal Of Nutrition. 116(9). 1512–1518. 25 indexed citations
10.
Shen, Shulin, et al.. (2013). Effect of intravenously injected zinc on tissue zinc and metallothionein gene expression of broilers. British Poultry Science. 54(3). 1–10. 10 indexed citations
11.
Wang, Runlian, et al.. (2013). Effect of Zinc Source on Performance, Zinc Status, Immune Response, and Rumen Fermentation of Lactating Cows. Biological Trace Element Research. 152(1). 16–24. 54 indexed citations
12.
Lü, Lin, Sufen Li, Jingjing Xie, et al.. (2012). Copper in Organic Proteinate or Inorganic Sulfate Form is Equally Bioavailable for Broiler Chicks Fed a Conventional Corn–Soybean Meal Diet. Biological Trace Element Research. 147(1-3). 142–148. 23 indexed citations
13.
Zhang, Wei, et al.. (2012). Effect of Different Levels of Copper and Molybdenum Supplements on Serum Lipid Profiles and Antioxidant Status in Cashmere Goats. Biological Trace Element Research. 148(3). 309–315. 23 indexed citations
14.
Zhang, Wei, et al.. (2011). Effect of Different Levels of Copper and Molybdenum Supplements on Performance, Nutrient Digestibility, and Follicle Characteristics in Cashmere Goats. Biological Trace Element Research. 143(3). 1470–1479. 10 indexed citations
16.
Yu, Yu, Lin Lü, Runlian Wang, et al.. (2010). Effects of zinc source and phytate on zinc absorption by in situ ligated intestinal loops of broilers. Poultry Science. 89(10). 2157–2165. 54 indexed citations
17.
Jia, Zhihai, et al.. (2008). Effects of dietary zinc on performance, nutrient digestibility and plasma zinc status in Cashmere goats. Small Ruminant Research. 80(1-3). 68–72. 33 indexed citations
19.
Wang, Runlian, et al.. (2007). Effects of Dietary Copper on Ruminal Fermentation, Nutrient Digestibility and Fibre Characteristics in Cashmere Goats. Asian-Australasian Journal of Animal Sciences. 20(12). 1843–1848. 33 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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